Selective minimum-norm solution of the biomagnetic inverse problem.
about
Potential Use of MEG to Understand Abnormalities in Auditory Function in Clinical PopulationsUltrafast inverse imaging techniques for fMRI.The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction.Linear constraint minimum variance beamformer functional magnetic resonance inverse imaging.Training-induced cortical representation of a hemianopic hemifield.Spectral spatiotemporal imaging of cortical oscillations and interactions in the human brain.Event-related single-shot volumetric functional magnetic resonance inverse imaging of visual processing.Coinciding early activation of the human primary visual cortex and anteromedial cuneus.MNE software for processing MEG and EEG dataAccuracy of estimating strengths of dipole moments from a small number of magnetoencephalographic trial data.Accurate reconstruction of brain activity and functional connectivity from noisy MEG data.Multimodal functional neuroimaging: integrating functional MRI and EEG/MEG.Sparse EEG/MEG source estimation via a group lasso.Sparse current source estimation for MEG using loose orientation constraints.Electrophysiological imaging of brain activity and connectivity-challenges and opportunities.Probability method for Cerenkov luminescence tomography based on conformance error minimizationSpatially sparse source cluster modeling by compressive neuromagnetic tomography.Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods.Time-frequency mixed-norm estimates: sparse M/EEG imaging with non-stationary source activations.MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters.s-SMOOTH: Sparsity and Smoothness Enhanced EEG Brain Tomography.Space-time event sparse penalization for magneto-/electroencephalography.Controlled Support MEG imaging.Evaluation of cortical current density imaging methods using intracranial electrocorticograms and functional MRI.Sparse source imaging in electroencephalography with accurate field modeling.EEG/MEG source reconstruction with spatial-temporal two-way regularized regression.A variational Bayes spatiotemporal model for electromagnetic brain mapping.Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy.Information spreading by a combination of MEG source estimation and multivariate pattern classification.Algebraic Reconstruction of Current Dipoles and Quadrupoles in Three-Dimensional Space
P2860
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P2860
Selective minimum-norm solution of the biomagnetic inverse problem.
description
1995 nî lūn-bûn
@nan
1995年の論文
@ja
1995年学术文章
@wuu
1995年学术文章
@zh
1995年学术文章
@zh-cn
1995年学术文章
@zh-hans
1995年学术文章
@zh-my
1995年学术文章
@zh-sg
1995年學術文章
@yue
1995年學術文章
@zh-hant
name
Selective minimum-norm solution of the biomagnetic inverse problem.
@en
Selective minimum-norm solution of the biomagnetic inverse problem.
@nl
type
label
Selective minimum-norm solution of the biomagnetic inverse problem.
@en
Selective minimum-norm solution of the biomagnetic inverse problem.
@nl
prefLabel
Selective minimum-norm solution of the biomagnetic inverse problem.
@en
Selective minimum-norm solution of the biomagnetic inverse problem.
@nl
P356
P1476
Selective minimum-norm solution of the biomagnetic inverse problem.
@en
P2093
P304
P356
10.1109/10.387200
P577
1995-06-01T00:00:00Z